Data Analyst Intern

Data Analyst Intern
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Optimo Capital
Bengaluru
2.4 - 3.6 lacs/annum
Contract
Full time
CLOSING SOON
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Job Description: Data Analyst Intern
Location:
On-site, Bangalore
Duration:
6 months (Full-time)
About us:
Optimo Capital is a newly established NBFC founded by Prashant Pitti, who is also a co-founder of EaseMyTrip (a billion-dollar listed startup that grew profitably without any funding).
Our mission is to serve the underserved MSME businesses with their credit needs in India. With less than 15% of MSMEs having access to formal credit, we aim to bridge this credit gap through a phygital model (physical branches + digital decision-making). As a technology and data-first company, tech lovers and data enthusiasts play a crucial role in building the analytics & tech at Optimo that helps the company thrive.
What we offer:
Join our dynamic startup team and play a crucial role in core data analytics projects involving credit risk, lending strategy, credit features analytics, collections, and portfolio management.
The analytics team at Optimo works closely with the Credit & Risk departments, helping them make data-backed decisions.
This is an exceptional opportunity to learn, grow, and make a significant impact in a fast-paced startup environment.
We believe that the freedom and accountability to make decisions in analytics and technology brings out the best in you and helps us build the best for the company.
This environment offers you a steep learning curve and an opportunity to experience the direct impact of your analytics contributions. Along with this, we offer industry-standard compensation.
What we look for:
We are looking for individuals with a strong analytical mindset, high levels of initiative / ownership, ability to drive tasks independently, clear communication and comfort working across teams.
We value not only your skills but also your attitude and hunger to learn, grow, lead, and thrive, both individually and as part of a team.
We encourage you to take on challenges, bring in new ideas, implement them, and build the best analytics systems.
Key Responsibilities:
Conduct analytical deep-dives such as funnel analysis, cohort tracking, branch-wise performance reviews, TAT analysis, portfolio diagnostic, credit risk analytics that lead to clear actions.
Work closely with stakeholders to convert business questions into measurable analyses and clearly communicated outputs.
Support digital underwriting initiatives, including assisting in the development and analysis of underwriting APIs that enable decisioning on borrower eligibility (“whom to lend”) and exposure sizing (“how much to lend”).
Develop and maintain periodic MIS and KPI reporting for key business functions (e.g., pipeline, disbursals, TAT, conversion, collections performance, portfolio trends).
Use Python (pandas, numpy) to clean, transform, and analyse datasets; automate recurring reports and data workflows.
Perform basic scripting to support data validation, extraction, and lightweight automation.
Required Skills and Qualifications:
Strong proficiency in Excel, including pivots, lookup functions, data cleaning, and structured analysis.
Strong working knowledge of SQL, including joins, aggregations, CTEs, and window functions.
Proficiency in Python for data analysis (pandas, numpy); ability to write clean, maintainable scripts/notebooks.
Strong logical reasoning and attention to detail, including the ability to identify errors and validate results rigorously.
Ability to work with ambiguous requirements and imperfect datasets while maintaining output quality.
Preferred (Good to Have):
REST APIs: A fundamental understanding of APIs and previous experience or projects related to API development/integrations.
Familiarity with basic AWS tools/services: (S3, lambda, EC2, Glue Jobs).
Experience with Git and basic engineering practices.
Any experience with the lending/finance industry.
Skills:- MS-Excel, SQL, Python, pandas, Data Analytics and Data Visualization
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